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AI Nameplate Data Extraction Solution

Overview


Data Analytics, AI & Cloud Hosting
Ashburn, Virginia, United StatesPosted: October 5, 2026Deadline: October 26, 2026

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SUMMARY


The organization seeks a SaaS AI solution for extracting equipment nameplate data from field photographs and converting it into human-validated asset records. Required capabilities include mobile image capture, audit logging, Microsoft Entra ID single sign-on, human review workflows, retention of source images, and operational reporting.

KEY REQUIREMENTS


CONTRACT DURATION


36 months

TIMELINE


RFP advertised: October 5th, 2026

Questions due: October 12th, 2026

Addendum issued: October 16th, 2026

Proposals due: October 26th, 2026

Demonstrations: November 19th–24th, 2026

Notice of Award: December 1st, 2026

Agreement execution and project kick-off: December 2026

QUESTION DEADLINE


October 12, 2026

CONTACTS


Primary procurement contact — name, title, email, and phone

Additional decision-makers and their departments

Issuing Agency


Loudoun Water

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DESCRIPTION


The issuing organization is seeking a software-as-a-service artificial intelligence solution that extracts equipment nameplate data from photographs and produces human-validated asset master data records in Asset Loader format. The solution will support the Operations and Maintenance–Asset Management team and must enable field staff to capture nameplate photographs using managed iOS or Android mobile devices and tablets.

The solution must automatically extract, at minimum, manufacturer, model number, serial number, and asset type. Photographs must be retained and associated with the resulting asset records. The system must provide a complete, exportable audit trail covering image submissions, extraction results, confidence scores, reviewer identities, review changes, and export events. AI-extracted data must pass through a configured human review workflow, with AI-generated and human-verified values clearly distinguished in both records and audit logs.

Implementation must include configuration of Microsoft Entra ID single sign-on. Reporting capabilities must include dashboards and exportable reports covering extraction accuracy, data completeness, records created, review queue volume and aging, and per-user field productivity. Questions must be submitted no later than October 12, 2026.

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Frequently asked questions


When is the submission deadline?
Submissions are due October 26, 2026. Questions must be submitted by October 12, 2026.
Who issued this RFP?
It was issued by Loudoun Water. The work is located in Ashburn, Virginia, United States.
Who is a good fit for this opportunity?
  • SaaS provider specializing in AI-powered image and document data extraction
  • Experience processing industrial equipment nameplates and asset master data
  • Proven human-in-the-loop validation, audit logging, and workflow capabilities
  • Strong Microsoft Entra ID integration and mobile application expertise
  • Experience delivering enterprise reporting, data exports, and operational analytics

Analysis generated by Settle AI from the source RFP.

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Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.

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